Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria

This paper examines the return and volatility spillovers of different sectoral stock prices in Nigeria using monthly data from January 2007 to December 2016. We employ the Diebold and Yilmaz (2012) spillover approach and rolling sample analysis to capture the inherent secular and cyclical movements...

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Main Authors: Fasanya Ismail Olaleke, Oyewole Oluwatomisin, Agbatogun Taofeek
Format: Article
Language:English
Published: Sciendo 2019-11-01
Series:Zagreb International Review of Economics and Business
Subjects:
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c67
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Online Access:https://doi.org/10.2478/zireb-2019-0021
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spelling doaj-63d02840b9824de59d0410a3013b9d9f2021-09-05T21:25:41ZengSciendoZagreb International Review of Economics and Business1849-11622019-11-01222719310.2478/zireb-2019-0021zireb-2019-0021Measuring Return and Volatility Spillovers among Sectoral Stocks in NigeriaFasanya Ismail Olaleke0Oyewole Oluwatomisin1Agbatogun Taofeek2Department of Economics, Augustine University, Lagos, Nigeria.Department of Economics, Federal University of Agriculture, Abeokuta.Department of Accounting, Federal University of Agriculture, Abeokuta.This paper examines the return and volatility spillovers of different sectoral stock prices in Nigeria using monthly data from January 2007 to December 2016. We employ the Diebold and Yilmaz (2012) spillover approach and rolling sample analysis to capture the inherent secular and cyclical movements in the sector stocks market.We show that there is substantial difference between the behaviour of the sectoral stock return and volatility spillover indices over time. We find evidence of interdependence among sector stocks given the spillover indices. While the return spillover index reveals increased integration among the sectoral stocks, the volatility spillover index experiences significant bursts during major market crises. Interestingly, return and volatility spillovers exhibit both trends and bursts respectively.https://doi.org/10.2478/zireb-2019-0021stocksreturnsvolatilitiesvector autoregressionforecast error variancespilloverc32c67g12
collection DOAJ
language English
format Article
sources DOAJ
author Fasanya Ismail Olaleke
Oyewole Oluwatomisin
Agbatogun Taofeek
spellingShingle Fasanya Ismail Olaleke
Oyewole Oluwatomisin
Agbatogun Taofeek
Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria
Zagreb International Review of Economics and Business
stocks
returns
volatilities
vector autoregression
forecast error variance
spillover
c32
c67
g12
author_facet Fasanya Ismail Olaleke
Oyewole Oluwatomisin
Agbatogun Taofeek
author_sort Fasanya Ismail Olaleke
title Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria
title_short Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria
title_full Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria
title_fullStr Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria
title_full_unstemmed Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria
title_sort measuring return and volatility spillovers among sectoral stocks in nigeria
publisher Sciendo
series Zagreb International Review of Economics and Business
issn 1849-1162
publishDate 2019-11-01
description This paper examines the return and volatility spillovers of different sectoral stock prices in Nigeria using monthly data from January 2007 to December 2016. We employ the Diebold and Yilmaz (2012) spillover approach and rolling sample analysis to capture the inherent secular and cyclical movements in the sector stocks market.We show that there is substantial difference between the behaviour of the sectoral stock return and volatility spillover indices over time. We find evidence of interdependence among sector stocks given the spillover indices. While the return spillover index reveals increased integration among the sectoral stocks, the volatility spillover index experiences significant bursts during major market crises. Interestingly, return and volatility spillovers exhibit both trends and bursts respectively.
topic stocks
returns
volatilities
vector autoregression
forecast error variance
spillover
c32
c67
g12
url https://doi.org/10.2478/zireb-2019-0021
work_keys_str_mv AT fasanyaismailolaleke measuringreturnandvolatilityspilloversamongsectoralstocksinnigeria
AT oyewoleoluwatomisin measuringreturnandvolatilityspilloversamongsectoralstocksinnigeria
AT agbatoguntaofeek measuringreturnandvolatilityspilloversamongsectoralstocksinnigeria
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